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Developing an e-learning System which enhances students' academic motivation
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Source User Services Conference archive
Proceedings of the 33rd annual ACM SIGUCCS conference on User services table of contents
Monterey, CA, USA
Pages: 147 - 150  
Year of Publication: 2005
ISBN:1-59593-200-3
Authors
Hidekatsu Koike  Sapporo Gakuin University, Hokkaido, Japan
Takahiko Ishikawa  Hokkaido University, Sapporo, Japan
Kiyoshi Akama  Hokkaido University, Sapporo, Japan
Masaki Chiba  Sapporo Gakuin University, Hokkaido, Japan
Katsunori Miura  Hokkaido University, Sapporo, Japan
Sponsors
ACM: Association for Computing Machinery
SIGUCCS: ACM Special Interest Group on University and College Computing Services
Publisher
ACM  New York, NY, USA
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ABSTRACT

In large classes, teachers find it difficult to care about the personality and ability of individual students. One of the ways to grasp the learning state of students is to conduct a number of short tests during every class. If a system can automatically give the appropriate instructions and teaching materials to individual students based on the test results of each student, students in the large classes will be able to obtain the same advantages as those that can be obtained in tutorial classes. We have developed automatic marking systems and have been able to conduct a number of short tests. In this paper, we discuss the development of an integrated e-learning system for realizing large classes that enhance students' academic motivation by recognizing each student's state of learning.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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Akama, K., Simizu, T., and Miyamoto, E. Solving problems by equivalent transformation of declarative programs, Journal of the Japanese Society for Artificial Intelligence, vol. 13, 1998, 944--952.
 
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Akama, K., Nantajeewarawat, E. and Koike, H. A class of rewriting rules and reserve transformation, Electronic Notes in Theoretical Computer Science, vol. 59, no. 4, 2001, 1--16.
 
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ETI: http://assam.cims.hokudai.ac.jp/eti.
 
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CMS Matrix: http://www.cmsmatrix.org.


Collaborative Colleagues:
Hidekatsu Koike: colleagues
Takahiko Ishikawa: colleagues
Kiyoshi Akama: colleagues
Masaki Chiba: colleagues
Katsunori Miura: colleagues